Abstract
A parking lot for fuel cell cars is considered inside a microgrid where the fuel cell cars are exploited to generate power inside the microgrid. A central control unit is considered in the microgrid in order to guarantee the power balance of the microgrid by means of scheduling the power generation of fuel cell cars. To compensate the uncertainty in the prediction of the load, three robust model predictive control methods are designed. Simulation of a case study compares the developed control methods and the performance of each method is evaluated.
| Original language | English |
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| Title of host publication | Proceedings of the 2017 IEEE 56th Annual Conference on Decision and Control (CDC) |
| Editors | A Astolfi et al |
| Place of Publication | Piscataway, NJ, USA |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 5062-5067 |
| ISBN (Electronic) | 978-150902873-3 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | CDC 2017: 56th IEEE Annual Conference on Decision and Control - Melbourne, Australia Duration: 12 Dec 2017 → 15 Dec 2017 http://cdc2017.ieeecss.org/ |
Conference
| Conference | CDC 2017: 56th IEEE Annual Conference on Decision and Control |
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| Country/Territory | Australia |
| City | Melbourne |
| Period | 12/12/17 → 15/12/17 |
| Other | The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas. |
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